Prediction of energy consumption indices in the automotive industry

António Almeida, A. Azevedo, Á. Caldas
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Abstract

Since the automotive industry is one of the most competitive markets, key players should be capable of evolving their management strategy from a reactive to proactive approach. This way, it is critical for this type of companies to explore a new performance management approach where an effective interaction between the strategic and operational layers should be achieved. In line with this vision, a framework is presented that helps stakeholders make decisions based on the ability to anticipate future performance behaviours. Using leading indicators as reference, the key idea is to structure and model the existing knowledge within a mathematical tool, in order to project the manufacturing system's behaviour into the future. In order to show the reliability and importance of this framework, this paper presents a research performed at an automotive plant. The aim is to model the factors affecting energy consumption and thus estimate the future behaviour in terms of sustainability issues.
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汽车工业能耗指标预测
由于汽车行业是竞争最激烈的市场之一,关键参与者应该能够将其管理策略从被动转变为主动。因此,对于这类公司来说,探索一种新的绩效管理方法是至关重要的,在这种方法中,战略层和运营层之间应该实现有效的互动。根据这一愿景,提出了一个框架,帮助利益相关者根据预测未来绩效行为的能力做出决策。使用领先指标作为参考,关键思想是在数学工具中构建和建模现有知识,以便将制造系统的行为预测到未来。为了表明该框架的可靠性和重要性,本文给出了在一家汽车厂进行的研究。其目的是模拟影响能源消耗的因素,从而根据可持续性问题估计未来的行为。
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